Este curso te brindará los conocimientos necesarios para la extracción, limpieza y preparación de distintas fuentes de datos para ser incluidos en un proceso de NLP.
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Limpieza de datos para el procesamiento de lenguaje natural
This course is part of Procesamiento de Lenguaje Natural Specialization
Instructor: Hernán Daniel Merlino
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There are 4 modules in this course
Este módulo te permitirá obtener los conocimientos necesarios para la construcción de un programa de extracción de datos de páginas Web basadas en HTML.
What's included
5 videos6 readings3 assignments2 discussion prompts1 plugin
En este módulo se describen un conjunto de pasos necesarios para el pre procesar páginas HTML y extraer información de ellas. Además, se detallarán distintos tipos de aproximación al mismo.
What's included
3 videos4 readings3 assignments1 discussion prompt
En este módulo se presentarán las técnicas avanzadas de scraping para extracción de datos de páginas HTML que utilizan diversas librerías de JavaScript para su construcción
What's included
3 videos4 readings3 assignments1 discussion prompt1 plugin
Una vez estriado el texto de las paginas HTML que es una fuente habitual de extracción de información, se pueden sumar distintas fuentes de tipos de datos, como ser PDF, DOC, XLS e imágenes. En este módulo se verán diversas técnicas que pueden servir para recolectar la información de ellas y unificarlas en un mismo conjunto de documentos.
What's included
4 videos4 readings3 assignments1 discussion prompt1 plugin
Instructor
Offered by
Recommended if you're interested in Machine Learning
Coursera Project Network
Universidad Nacional Autónoma de México
Pontificia Universidad Católica del Perú
University of California, Irvine
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